Kubernetes Network Flow Analyzer

Problem Context

You run multiple apps in Kubernetes at home or work. You use Helm charts to deploy them, like Paperless-NGX with Redis. Everything installs, but suddenly, one app can’t talk to another—even though they’re in the same pod or namespace. You spend hours checking logs, ports, and network policies, but nothing explains why the connection fails.

Pain Points

You try basic commands like kubectl get pods and netstat, but they don’t show the full picture. Helm charts hide misconfigurations, and Cilium policies might block traffic silently. You’re stuck guessing which part of the stack is broken—Redis, the pod, the service, or the network policy—with no clear path to fix it.

Impact

Every hour spent debugging is time not spent building your system. If you’re running a document management system, e-commerce site, or internal tool, downtime means lost productivity, frustrated users, and missed revenue. The frustration builds when you’re close to a solution but hit an invisible wall in Kubernetes networking.

Urgency

This isn’t a ‘nice-to-have’—it’s a blocker. Until you fix it, your system won’t work. You can’t scale, test, or deploy new features. The longer it takes, the more you question whether self-hosting is worth the hassle. You need a tool that automatically diagnoses the issue so you can move forward.

Target Audience

Home lab enthusiasts running Kubernetes for personal projects, small DevOps teams managing self-hosted apps, and IT admins debugging complex Helm deployments. Anyone who uses Kubernetes with Cilium, Redis, or multi-container pods will face this—especially if they’re new to Kubernetes networking.

Solution Approach

PodFlow is a *Kubernetes networking diagnostic tool- that automatically maps the full chain of communication between pods—from the app trying to connect, through services and endpoints, to network policies and firewalls. It doesn’t just show logs; it simulates traffic flows and highlights exactly where the breakdown occurs, with actionable fixes.

Key Features

1. Helm Chart Validator: Scans Helm charts for common misconfigurations (e.g., missing ports, incorrect service types) that cause networking issues.
2. Cilium Policy Simulator: Lets you preview how Cilium rules affect traffic before applying them, avoiding silent blocks.
3. Redis-Specific Diagnostics: Quickly checks if Redis is exposed on the correct port, bound to the right interface, and accessible from the requesting pod.

User Experience

You install PodFlow in your cluster via Helm. When a pod can’t reach another, you run a single command or open the dashboard. It shows you a step-by-step breakdown of the failed connection, like: ‘Pod A is trying to reach Redis on port 6379, but the Service is configured as ClusterIP (not accessible from outside the cluster). Fix: Change the service type to NodePort.’ No more guessing—just clear, actionable fixes.

Differentiation

Unlike kubectl or netstat, PodFlow correlates all layers of Kubernetes networking—pods, services, endpoints, and policies—into one view. It’s not just a log viewer; it *simulates traffic- to predict issues before they happen. Other tools require manual correlation of commands, but PodFlow does it automatically. It’s the only tool built specifically for Helm + Cilium + Redis networking debugging.

Scalability

Start with one cluster for free. As you add more clusters or need advanced features (like Slack alerts or Jira integration), you upgrade to paid plans. For teams, it scales to monitor all clusters in an organization, with role-based access control. Add-ons like *automated Helm chart testing- or Cilium rule optimization unlock new value over time.

Expected Impact

You save *10+ hours per networking issue- by getting instant, accurate diagnoses instead of guessing. Your systems stay online, users aren’t blocked, and you can focus on building features instead of debugging. For teams, it reduces on-call time and prevents production outages from networking misconfigurations. It’s the difference between spending days stuck and moving forward in minutes.